Principal Data Scientist, TPG
Folsom, CAAll locationsFolsom, CASan Jose, CABoise, ID - Main Site Hybrid
$145,000–$360,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
We are looking for a Lead Engineer, Applied AI and Agentic Systems. You will own the architecture and drive delivery of AI systems that engineers rely on every day. Problems will reach you vague. You will turn them into designs, plans, and working software. You bring depth in machine learning plus real strength in software engineering, cloud deployment, and agentic AI. You set direction, review designs, question assumptions, and grow the engineers around you. When a problem gets genuinely hard, you dig into the code alongside the team. If that sounds like your kind of work, we would like to meet you! Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
What you'll bring
- Bachelor's degree in Computer Science, Data Science, Electrical/Computer Engineering, Statistics, Mathematics, Physics, or a related technical field.
- 8 years of relevant experience, or equivalent practical experience.
- Led complex AI, ML, data science, or software engineering programs as technical lead, directing the work of other engineers.
- Hands-on machine learning and statistical modeling: supervised learning, feature engineering, validation, performance evaluation, and reading model behavior.
- Python fluency with PyTorch, TensorFlow, scikit-learn, or XGBoost.
- Shipped models into production — inference pipelines, APIs, CI/CD, monitoring.
- Master's degree or PhD in Computer Science or a related technical field, or equivalent experience.
- People leadership: mentoring engineers, developing careers, and forming team capability.
- Semiconductors, memory, storage, electronics, hardware systems, or advanced manufacturing.
- AI/ML deployed in cloud, hybrid, or on-prem environments — AWS, GCP, Azure, Kubernetes, OpenShift, or Docker.
- LLMs, RAG, and agentic workflows: agent frameworks, model gateways, knowledge graphs, enterprise search, MCP tool integration, or workflow orchestration.
- The US base salary range that Micron Technology estimates it could pay for this full-time position is: